Papers

Paper 1: UAV-assisted Solar Energy Distribution Technique Based on Partial Brownian Movement for the Internet of Things (Target: JCN).

Paper 2: Development of Routing Protocol in UAV Network for Military Environment, (Target: ICT Express [Project])

Paper 3: LSTM Based Solar Irradiance Prediction From Remote Sensing of Meteorological Data, (Target: IEEE Geoscience and Remote Sensing Letters [Resubmission])

Paper 4: Accuracy Improvement of Energy Prediction for Energy Harvesting WSN using Hybrid Deep Learning Technique[Target: ICT Express or Renewable Energy (Elsevier)]

Paper 5: Energy-Efficient Drone Base Station Deployment Using Deep Learning Technique in Search and Rescue Mission. (KICS Summer Conference 2021)

Last Week's Progress

Paper 3:
* Surveyed paper of existing prediction method to show the comparison


Paper 5:
* Started the simulation in google collab for energy-efficient drone deployment
* Surveyed several papers related to the topic
1. Energy-Efficient Placement of a Drone Base Station for Minimum Required Transmit Power
2. Energy-Efficient UAVs Deployment for QoS-Guaranteed VoWiFi Service

This Week Todo's

Paper 3:
* Survey more existing methods for solar irradiance prediction to show comparison with proposed one (based on reviews comment)
* Simulate the proposed model to show more comparison with the existing models (based on review comment)
* Complete the revision work and prepare for resubmission

Paper 5:
* Continue the simulation work (energy-efficient drone deployment)
* Start writing the paper (Introduction and System Model part)

Project Progress

Smart Grid Energy for Energy Consumption Prediction Using LSTM Model in Industrial Environment

Last Week's Project

1. Reviewed and compared Machine Learning Algorithms for Smart Energy Forecasting
2. Performance Evaluation of Compared Machine Learning Algorithms to enable choice of model

This Week's Project

Start training Machine Learning choice of Algorithm for Smart Energy Forecasting

Monthly Goals

1. To conclude and submit Title 2

2. To conclude Titles 3 and 4

2. To continue with machine learning

Annual Goals

1. To attend at least one NSL approved Domestic Conference

2. To attend at least one International Conference

3. To Submit at least two Journals